Adaptive Headlight Management and Information System for Optimized Intensity and Direction in Electric Vehicles

Abstract

This paper presents Adaptive Headlight Management Information System for Optimized Intensity and Direction in Electric Vehicles, aimed at optimizing road illumination while minimizing glare for other road users. The system integrates three primary components: the Vital Illumination Sensing System (VISS), the Headlight Adjusting System (HAS), and the Light Intensity Adjusting System (LIAS). The CISS, which consists of a PIXY2 microcontroller and a camera, detects oncoming vehicles and evaluates their headlight intensity using machine learning algorithms. The microcontroller then adjusts the intensity of the vehicle's own headlights through the LIAS, which uses a DC-DC boost chopper to vary the duty cycle according to the required light intensity.The HAS controls the headlight’s direction by using a servo mechanism to adjust its angle, ensuring that the light is directed precisely on the road, especially during turns or inclines. The system dynamically predicts the necessary adjustments by processing data from the PIXY2 microcontroller and applying image processing algorithms. Additionally, the integration of IoT communication protocols, such as Wi-Fi and GPRS, enables real-time data transmission to the user interface, allowing the rider to receive notifications about headlight status, intensity adjustments, and anomalies.By continuously adjusting the headlight intensity and direction based on real-time vehicle and road conditions, the system enhances road safety, conserves energy, and reduces glare for other road users. This innovative approach represents a significant step forward in the development of intelligent lighting systems for electric vehicles.